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http://dx.doi.org/10.7848/ksgpc.2018.36.6.451

Orientation Analysis between UAV Video and Photos for 3D Measurement of Bridges  

Han, Dongyeob (Dept. of Marine and Civil Engineering, Chonnam National University)
Park, Jae Bong (Research Institute for Infrastructure Performance, KISTEC)
Huh, Jungwon (Dept. of Marine and Civil Engineering, Chonnam National University)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.36, no.6, 2018 , pp. 451-456 More about this Journal
Abstract
UAVs (Unmanned Aerial Vehicles) are widely used for maintenance and monitoring of facilities. It is necessary to acquire a high-resolution image for evaluating the appearance state of the facility in safety inspection. In addition, it is essential to acquire the video data in order to acquire data over a wide area rapidly. In general, since video data does not include position information, it is difficult to analyze the actual size of the inspection object quantitatively. In this study, we evaluated the utilization of 3D point cloud data of bridges using a matching between video frames and reference photos. The drones were used to acquire video and photographs. And exterior orientations of the video frames were generated through feature point matching with reference photos. Experimental results showed that the accuracy of the video frame data is similar to that of the reference photos. Furthermore, the point cloud data generated by using video frames represented the shape and size of bridges with usable accuracy. If the stability of the product is verified through the matching test of various conditions in the future, it is expected that the video-based facility modeling and inspection will be effectively conducted.
Keywords
Bridge; Matching; UAV; Frames; Orientation;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Kim, M.C. and Yoon, H.J. (2018), A study on utilization 3D shape pointcloud without GCPs using UAV images, Journal of the Korea Academia-Industrial cooperation Society, Vol. 19, No. 2, pp. 97-104. (in Korean with English abstract)   DOI
2 Lischinski, D. (2007), Structure from motion: Tomasi-Kanade factorization, http://www.cs.huji.ac.il/-csip/sfm.pdf (last date accessed: 15 October 2018).
3 Matikainen, L., Lehtomaki, M., Ahokas, E., Hyyppa, J., Karjalainen, M., Jaakkola, A., Kukko, A., and Heinonen, T. (2016), Remote sensing methods for power line corridor surveys, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 119, pp. 10-31.   DOI
4 Metni, N. and Hamel, T. (2007), A UAV for bridge inspection: Visual servoing control law with orientation limits, Automation in Construction, Vol. 17, No. 1, pp. 3-10.   DOI
5 Mikolajczyk, K. and Schmid, C. (2005), A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, No. 10, pp. 1615-1630.   DOI
6 Noh, M.J., Cho, W., Park, J., Kim, J.S., and Koh, J.W. (2011), Geocoding of the free stereo mosaic image generated from video sequences, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 29, No. 3, pp. 249-255. (in Korean with English abstract)   DOI
7 Park, J.K. and Um, D.Y. (2018), Utilization evaluation of digital surface model by UAV for reconnaissance survey of construction project, Journal of the Korea Academia-Industrial cooperation Society, Vol. 19, No. 3, pp. 155-160. (in Korean with English abstract)   DOI
8 Bay, H., Ess, A., Tuytelaars, T., and Van Gool, L. (2008), SURF: Speeded up robust features, Computer Vision and Image Understanding, Vol. 110, No. 3, pp. 346-359.   DOI
9 Chan, B., Guan, H., Jo, J., and Blumenstein, M. (2015), Towards UAV-based bridge inspection systems: A review and an application perspective, Structural Monitoring and Maintenance, Vol. 2, No. 3, pp. 283-300.   DOI
10 Funayama, R., Yanagihara, H., Van Gool, L., Tuytelaars, T., and Bay, H. (2009), Robust interest point detector and descriptor, Patent US8165401.
11 Jang, H.S. (2005), Extraction of information on road surface using digital video camera, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 23, No. 1, pp. 9-17. (in Korean with English abstract)
12 Kim, H.Y., Choi, K.A., and Im, I.P. (2018), Drone image-based facility inspection - focusing on automatic process using reference images, Journal of the Korean Society for Geospatial Information Science, Vol. 26, No. 2, pp. 21-32. (in Korean with English abstract)